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Linear Algebra Jim Hefferon

By: Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: Colchester, Vermont Jim Hefferon 2020Copyright date: ©2016Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781944325039
Subject(s): LOC classification:
  • QA1
  • QA37.3
  • QA150-272.5
Online resources:
Contents:
Chapter One: Solving Linear Systems -- Chapter Two: Vector Spaces -- Chapter Three: Maps Between Spaces -- Chapter Four: Determinants -- Chapter Five: Similarity --
Subject: This text covers the standard material for a US undergraduate first course: linear systems and Gauss's Method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues, as well as additional topics such as introductions to various applications. It has extensive exercise sets with worked answers to all exercises, including proofs, beamer slides for classroom use, and a lab manual for computer work. The approach is developmental. Although everything is proved, it introduces the material with a great deal of motivation, many computational examples, and exercises that range from routine verifications to a few challenges. Ancillary materials are available at the publisher link.
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Chapter One: Solving Linear Systems -- Chapter Two: Vector Spaces -- Chapter Three: Maps Between Spaces -- Chapter Four: Determinants -- Chapter Five: Similarity --

This text covers the standard material for a US undergraduate first course: linear systems and Gauss's Method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues, as well as additional topics such as introductions to various applications. It has extensive exercise sets with worked answers to all exercises, including proofs, beamer slides for classroom use, and a lab manual for computer work. The approach is developmental. Although everything is proved, it introduces the material with a great deal of motivation, many computational examples, and exercises that range from routine verifications to a few challenges. Ancillary materials are available at the publisher link.

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In English.

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